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Stress Analysis Using Physiological Signals | Open Datasets #Sciencefather #Researcherawards

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Introduction The rapid expansion of stress research has been propelled by the availability of open access physiological datasets and advances in computational modeling . This review synthesizes a decade of progress by integrating dataset taxonomy, methodological trends, and experimental considerations into a unified perspective on stress analysis. It highlights the importance of multimodal signals such as EEG , ECG , EDA , respiration , and behavioral indicators like audiovisual cues , motion , and eye-tracking in the development of robust stress recognition systems. The field increasingly embraces deep learning , self-supervised strategies , multimodal fusion , and explainable AI , emphasizing the need for transparency and adaptability in predictive modeling. However, inconsistent experimental designs, demographic limitations, and challenges in data labeling and synchronization still restrict generalizability. This context sets the foundation for understanding current achievements...
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Parameters on Copper Dissolution Using Gold Microelectrodes #Sciencefather #ResearcherAwards

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Introduction Understanding corrosion mechanisms at the microscale is crucial for improving the durability and performance of copper-based materials , especially in aggressive environments such as marine systems. Scanning electrochemical microscopy (SECM) operated in generation–collection mode provides an advanced platform for in situ analysis of electrochemical reactions. However, the challenge arises when metals like copper do not undergo soluble redox conversion and instead deposit onto the microelectrode tip. This behavior not only alters the electrochemical response but also complicates the interpretation of dissolution processes. The following topics explore the electrochemical principles, methodological considerations, and analytical parameters essential for accurate quantification of Cu²⁺ ions using micro-sized gold electrodes under varying environmental conditions. Challenges in SECM Detection of Non-Soluble Metal Ion Redox Processes A fundamental challenge in SECM ima...
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3D-Printed Terahertz Polarisation Sensor | Cost-Effective Innovation #Sciencefather #Researcherawards

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1. Introduction The advancement of terahertz (THz) technology has accelerated significantly with the integration of additive manufacturing techniques such as 3D printing . This study explores the fabrication of cost-effective, polarisation-sensitive components using fused deposition modelling (FDM), focusing on the development of 3D-printed structures designed for effective THz polarisation sensing . By utilising a range of commercially available filaments with specific additives, researchers successfully produced devices capable of manipulating THz radiation with high efficiency. This introductory section outlines the motivation, methodology, and scope of the study, emphasizing its potential to reduce the cost and complexity of THz optical components . Material Selection and Additive Impact on THz Performance The research examined multiple filament types incorporating various additives to enhance the optical response of the printed structures. Each material demonstrated different...
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Best Innovation Award | Global Particle Physics Excellence Awards #Sciencefather #Researcherawards

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  Introduction The Best Innovation Award within the Global Particle Physics Excellence Awards program stands as a testament to exceptional scientific achievement and research-driven innovation. Designed to honor pioneering minds, the award emphasizes breakthroughs that redefine the boundaries of particle physics while inspiring future exploration. By recognizing transformative ideas and impactful discoveries, the program strengthens global scientific collaboration and fuels the advancement of cutting-edge research . Advancing Theoretical Foundations Theoretical research plays a crucial role in shaping the future of particle physics, offering new frameworks and models that deepen our understanding of the universe. Nominees for this category often develop innovative theories that challenge existing paradigms, introduce novel mathematical approaches, and inspire experimental verification. Such theoretical advancements not only expand scientific knowledge but also open pathways...
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Finite Element Method for Multiphase Flow Instabilities | #Sciencefather #Researcherawards

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Introduction The study introduces a comprehensive finite element framework designed to model compressible, turbulent multiphase flows with heat transfer , addressing major limitations in conventional finite volume–based Volume of Fluid (VOF) approaches . By integrating a reconstruction-free VOF formulation with the dynamic Vreman large eddy simulation (LES) turbulence model , the method captures interfacial dynamics more accurately in high-speed two-fluid scenarios. Unlike traditional VOF studies that often omit thermal effects, this framework embeds energy transport directly into the multiphase formulation, enabling simultaneous prediction of flow evolution, turbulence, and heat exchange. Its capability to handle conjugate heat transfer without prescribing interfacial heat fluxes represents a major advancement over finite volume methods, which typically require explicit thermal boundary conditions that reduce accuracy. The framework’s effectiveness is demonstrated through instabil...
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Pipe Damage Detection Using Line-Structured Light | Advanced Tech #Sciencefather #Researcherawards

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  Introduction Baseline-free structural health monitoring (SHM) has emerged as a transformative approach that enables real-time damage assessment without relying on initial reference data. This concept is particularly valuable for pipe systems, where obtaining pristine baseline conditions is often impractical. The discussed study introduces a novel framework that integrates line-structured light (LSL) and regional resonance pairs (RRPs) to enhance the reliability and accuracy of pipe damage identification. By analyzing resonance variations and quantifying material loss , the method offers a robust, non-contact, and comprehensive strategy for detecting, locating, and evaluating damage severity. Importance of Baseline-Free SHM in Pipe Monitoring Pipes operate in environments where baseline conditions can change due to aging, temperature fluctuations, or environmental stress, making traditional SHM approaches less effective. Baseline-free techniques overcome these limitations by relyi...
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